According to Gartner's 2019 CIO Survey, AI adoption by businesses grew 270% over the last four years, and over 37% of businesses have implemented AI in some facet. Businesses are adopting the technology at staggering rates, and Chief Information Officers and data scientists are facing difficult decisions regarding which speed of AI fits their business needs. AI can be broken down into three scoring patterns: batch, event-driven, and real-time. Each scoring pattern provides different capabilities, depending on the goal of the model. For example, while batch computing may work ideally in a payroll setting, it would not be an effective way to track fraud in banking transactions.